GitLab

* add: initial implementation of the pix2pix instruct training script.

* shorten cli arg.

* fix: main process check.

* fix: dataset column names.

* simplify tokenization.

* proper placement of null conditions.

* apply styling.

* remove debugging message for conditioning do.

* complete license.

* add: requirements.tzt

* wandb column name order.

* fix: augmentation.

* change: dataset_id.

* fix: convert_to_np() call.

* fix: reshaping.

* fix: final ema copy.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* address PR comments.

* add: readme details.

* config fix.

* downgrade version.

* reduce image width in the readme.

* note on hyperparameters during generation.

* add: output images.

* update readme.

* minor edits to readme.

* debugging statement.

* explicitly placement of the pipeline.

* bump minimum diffusers version.

* fix: device attribute error.

* weight dtype.

* debugging.

* add dtype inform.

* add seoarate te and vae.

* add: explicit casting/

* remove casting.

* up.

* up 2.

* up 3.

* autocast.

* disable mixed-precision in the final inference.

* debugging information.

* autocasting.

* add: instructpix2pix training section to the docs.

* Empty-Commit

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add noise offset

* make style

* [MS Text To Video} Add first text to video

* upload

* make first model example

* match unet3d params

* make sure weights are correcctly converted

* improve

* forward pass works, but diff result

* make forward work

* fix more

* finish

* refactor video output class.

* feat: add support for a video export utility.

* fix: opencv availability check.

* run make fix-copies.

* add: docs for the model components.

* add: standalone pipeline doc.

* edit docstring of the pipeline.

* add: right path to TransformerTempModel

* add: first set of tests.

* complete fast tests for text to video.

* fix bug

* up

* three fast tests failing.

* add: note on slow tests

* make work with all schedulers

* apply styling.

* add slow tests

* change file name

* update

* more correction

* more fixes

* finish

* up

* Apply suggestions from code review

* up

* finish

* make copies

* fix pipeline tests

* fix more tests

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* apply suggestions

* up

* revert

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Add guidance start/end parameters to community controlnet img2img pipeline

* Fix formats

* [Img2Img]: Copyover img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

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Co-authored-by: njindal <njindal@adobe.com>

* updated black format

* update black format

* make style format

* updated line endings

* update code formatting

* Update examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* added vae gradient checkpointing test

* make style

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>

* rename file

* rename attention

* fix more

* rename more

* up

* more deprecation imports

* fixes

* Controlnet training code initial commit

Works with circle dataset: https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md



* Script for adding a controlnet to existing model

* Fix control image transform

Control image should be in 0..1 range.

* Add license header and remove more unused configs

* controlnet training readme

* Allow nonlocal model in add_controlnet.py

* Formatting

* Remove unused code

* Code quality

* Initialize controlnet in training script

* Formatting

* Address review comments

* doc style

* explicit constructor args and submodule names

* hub dataset

NOTE -  not tested

* empty prompts

* add conditioning image

* rename

* remove instance data dir

* image_transforms -> -1,1 . conditioning_image_transformers -> 0, 1

* nits

* remove local rank config

I think this isn't necessary in any of our training scripts

* validation images

* proportion_empty_prompts typo

* weight copying to controlnet bug

* call log validation fix

* fix

* gitignore wandb

* fix progress bar and resume from checkpoint iteration

* initial step fix

* log multiple images

* fix

* fixes

* tracker project name configurable

* misc

* add controlnet requirements.txt

* update docs

* image labels

* small fixes

* log validation using existing models for pipeline

* fix for deepspeed saving

* memory usage docs

* Update examples/controlnet/train_controlnet.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/train_controlnet.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* remove extra is main process check

* link to dataset in intro paragraph

* remove unnecessary paragraph

* note on deepspeed

* Update examples/controlnet/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* assert -> value error

* weights and biases note

* move images out of git

* remove .gitignore

---------
Co-authored-by: William Berman <WLBberman@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add DDIM Noise Comparative Analysis pipeline

* update README

* add comments

* run BLACK format

* [Dreambooth] Editable number of class images

* 'class_num=None' bug fix

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add lora

* Update examples/research_projects/lora/README.md

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Co-authored-by: mishka <gartsocial@gmail.com>

* Added multitoken training for textual inversion

* Updated assertion

* Removed duplicate save code

* Fixed undefined bug

* Fixed save

* Added multitoken clip model +util helper

* Removed code splitting

* Removed class

* Fixed errors

* Fixed errors

* Added loading functionality

* Loading via dict instead

* Fixed bug of invalid index being loaded

* Fixed adding placeholder token only adding 1 token

* Fixed bug when initializing tokens

* Fixed bug when initializing tokens

* Removed flawed logic

* Fixed vector shuffle

* Fixed tokenizer's inconsistent __call__ method

* Fixed tokenizer's inconsistent __call__ method

* Handling list input

* Added exception for adding invalid tokens to token map

* Removed unnecessary files and started working on progressive tokens

* Set at minimum load one token

* Changed to global step

* Added method to load automatic1111 tokens

* Fixed bug in load

* Quality+style fixes

* Update quality/style fixes

* Cast embeddings to fp16 when loading

* Fixed quality

* Started moving things over

* Clearing diffs

* Clearing diffs

* Moved everything

* Requested changes

Support revision in Flax text-to-image training.

* community controlnet inpainting pipelines

* add community member attribution re: @pcuenca

* add  intermediate logging
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Co-authored-by: yiyixuxu <yixu310@gmail,com>

* Update textual_inversion_flax.py

* Update textual_inversion_flax.py

* Typo

sorry.

* Format source

* unclip img interpolation poc

* Added code sample and refactoring.

* Initial commit

* removed images

* Made logging the same as save

* Removed logging function

* Quality fixes

* Quality fixes

* Tested

* Added support back for validation_epochs

* Fixing styles

* Did changes

* Change to log_validation

* Add extra space after wandb import

* Add extra space after wandb
Co-authored-by: Will Berman <wlbberman@gmail.com>

* Fixed spacing

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Co-authored-by: Will Berman <wlbberman@gmail.com>

* Fix tensorboard tracking with `accelerate` @ `main`

* Fix `train_unconditional.py` with accelerate from main.

* Update train_text_to_image_lora.py

* Update train_text_to_image_lora.py

* add xformers 0.0.16 warning message

* fix version check to check whole version string

This reverts commit 024c4376.

* Fix EMA

* up

* update

correctly locate 3rd file; also correct misleading docs